wandering and wondering. Research Scientist at Prescient Frontiers Research, Genentech. Forbes 30u30 Science.

San Francisco, CA
Joined July 2012
Are equivariant architectures worth it for guaranteeing 3D-rotational symmetry when modeling proteins? We study this in *Training Dynamics of Learning 3D-Rotational Equivariance* (Oral at NeurIPS AI4Science '25, accepted at TMLR) 🧵👇
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Check out our poster and oral presentation at NeurIPS AI4Science, and I'd be happy to chat! I am a researcher in Frontiers Research in Prescient Design, Genentech with @kchonyc and we may be hiring soon!
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In capitalism, narrow AI may be the greatest threat to AGI. argmax.ghost.io/on-creating-…
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New blog post - argmax.ghost.io/treating-hig…. A unifying and simple concept - iteratively refining high dimensional output seems to work surprisingly well in practice
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Why? Perhaps consider one intuition: compared to predicting the optimal y in a single pass, traversing a learned gradient field is more robust to prediction errors: 50% of directions are descent directions!
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Join us at Genentech in a unique Research Scientist , Machine Learning role: 80% research freedom, 20% applied! Drive your own research agenda, collaborate with academia, and build your own group. Find me at #ICML2022 - very happy to chat! roche.wd3.myworkdayjobs-impl…
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I started a fun little machine learning blog! argmax.ghost.io/ Two initial posts exploring some well-known topics ...
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1. KL Divergence in Discrete Spaces - the forward KL can be related to the multinomial and dirichlet likelihoods argmax.ghost.io/kl-divergenc…
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2. Implicit differentiation through equilibria: attempting a clearer exposition for my own sake argmax.ghost.io/implicit-dif…
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I am hiring for a pure ML research scientist role: 80% publishing with complete research freedom, 20% consulting and collaborating on applied ML, in a legendary biotech company with a vibrant scientific environment and academia-like culture. careers.gene.com/us/en/job/G….
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